This data set contains WWW-pages collected from computer science departments of various universities in January 1997 by the World Wide Knowledge Base (Web->Kb) project of the CMU text learning group. The 8,282 pages were manually classified into the following categories:
student (1641)
faculty (1124)
staff (137)
department (182)
course (930)
project (504)
other (3764)
3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
windows開源代碼
Microsoft Windows is a complex operating system. It offers so many features and does so much that it s impossible for any one person to fully understand the entire system. This complexity also makes it difficult for someone to decide where to start concentrating the learning effort. Well, I always like to start at the lowest level by gaining a solid
ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN
This section describes the eSOAP toolkit demo package. It consists of the eSOAP
runtime for MS Windows, the demo version of the esoapcg compiler and some
source code examples to help developers learning how to use the toolkit
( run-time ) and how to specify service interfaces using the esoap code
generator (esaopcg).
Contents at a Glance
Introduction 1
PART I INSTALLATION AND CONFIGURATION 5
Hour 1 Preparing to Install Linux 7
2 Installing Linux 23
3 Post-Installation Issues 41
PART II LEARNING LINUX BASICS 67
Hour 4 Reading and Navigation Commands 69
5 Manipulation and Searching Commands 93
6 Using the Shell 117
7 Using the X Window System 143
8 Exploring the K Desktop Environment 177
PART III CONNECTING TO THE OUTSIDE WORLD 197
Hour 9 Using Communications Programs 199
10 Connecting to the Internet 223
11 Configuring Internet Email 249
12 Configuring Internet News 269
13 Internet Downloading and Browsing 289
模式識別學習綜述.該論文的英文參考文獻為303篇.很有可讀價值.Abstract— Classical and recent results in statistical pattern
recognition and learning theory are reviewed in a two-class
pattern classification setting. This basic model best illustrates
intuition and analysis techniques while still containing the essential
features and serving as a prototype for many applications.
Topics discussed include nearest neighbor, kernel, and histogram
methods, Vapnik–Chervonenkis theory, and neural networks. The
presentation and the large (thogh nonexhaustive) list of references
is geared to provide a useful overview of this field for both
specialists and nonspecialists.
